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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 23118
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    Explanations

    references to specific terms or entities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to comfort and support

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DERR
    -0.79
     luc
    -0.73
     Transcript
    -0.71
     Jess
    -0.67
    OTOS
    -0.66
     Kislyak
    -0.66
    ays
    -0.66
    âĸĢ
    -0.65
    antine
    -0.65
    س
    -0.64
    POSITIVE LOGITS
    ppo
    1.09
    ppa
    1.06
    strap
    0.99
    kus
    0.95
    xy
    0.92
    Ware
    0.89
    pp
    0.83
    metal
    0.83
    lder
    0.82
    ciating
    0.81
    Activations Density 0.029%

    No Known Activations